基于旋转均匀圆阵的单近场源参数估计解模糊算法

摘要

Source localization with an array is an important topic for wireless communication,radar,sonar,etc.In order to resolve the phase ambiguity in parameter estimation of a single high frequency near-field source with uniform circular array (UCA),a rotation-based algorithm is introduced to make the same sensor form virtual short base-line.First,a reference sensor is set at the center of UCA and its initial phase difference is utilized to compensate the measurements of other sensors,which are received before and after rotating UCA.Then,based on the phase difference of each sensor computed by correlation,the azimuth angle,elevation angle and range of the source can be estimated by least squares.Further,by using the obtained source parameters without ambiguity to eliminate the phase difference ambiguity of sensors with the longest base line before rotation,we can acquire more precise source parameters.Finally,the efficiency and performance of the method for a single high frequency source is verified by several simulations.%基于阵列的信源定位在无线通信、雷达、声纳等领域运用广泛.针对均匀圆阵下单个高频近场源参数估计存在相位模糊的情况,本文提出利用旋转使同一阵元形成虚拟短基线的解模糊算法.首先,为了对旋转前后两组观测数据进行配准,在圆阵中心设置参考阵元并利用其初始相位差对其他阵元数据进行相位补偿;随后,在通过复共轭积计算各阵元旋转前后无模糊相位差的基础上,使用最小二乘法反演出近场源的方位、俯仰和距离;进一步地,利用反演得到的无模糊近场源参数消除旋转前最长基线阵元间接收信号的相位差模糊,得到长基线下的高精度参数;最后,利用仿真实验验证了本文算法在高频单近场源下的解模糊性能.